def 			lowercase(	UpperCamelCase_       )		->	List[str]:







 '''simple docstring'''
 UpperCamelCase			  =      [0] * len(UpperCamelCase_       )
 UpperCamelCase			  =      []
 UpperCamelCase			  =      []
 UpperCamelCase			  =      0

 for values in graph.values():
  for i in values:
   indegree[i] += 1

 for i in range(len(UpperCamelCase_       )       ):
  if indegree[i] == 0:
   queue.append(UpperCamelCase_       )

 while queue:
  UpperCamelCase			  =      queue.pop(0       )
  cnt += 1
  topo.append(UpperCamelCase_       )
  for x in graph[vertex]:
   indegree[x] -= 1
   if indegree[x] == 0:
    queue.append(UpperCamelCase_       )

 if cnt != len(UpperCamelCase_       ):
  print("""Cycle exists"""       )
 else:
  print(UpperCamelCase_       )


# Adjacency List of Graph
_SCREAMING_SNAKE_CASE 		=      {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}


topological_sort(graph)

import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
     import jax
@require_flax
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase  ,     unittest.TestCase		):
   __lowerCAmelCase           =				FlaxAutoencoderKL







   @property
   def 						lowerCamelCase_	(     self						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      4
    UpperCamelCase			  =      3
    UpperCamelCase			  =      (32, 32)

    UpperCamelCase			  =      jax.random.PRNGKey(0				)
    UpperCamelCase			  =      jax.random.uniform(lowerCamelCase_   ,   ((batch_size, num_channels) + sizes)				)

    return {"sample": image, "prng_key": prng_key}







   def 						lowerCamelCase_	(     self						:						str				):





    """simple docstring"""


    UpperCamelCase			  =      {
        """block_out_channels""": [32, 64],
        """in_channels""": 3,
        """out_channels""": 3,
        """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
        """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
        """latent_channels""": 4,
    }
    UpperCamelCase			  =      self.dummy_input
    return init_dict, inputs_dict
